Staff Software Engineer – AI-Native Platform

This is a fully remote position, open to applicants in California.

📋 Description

• Provide technical leadership across various engineering teams.

• Drive technical strategy across the organization and spearhead initiatives that cross teams, products, and domains.

• Define the architectural direction and guide long-term technical investments.

• Navigate through ambiguity, resolve competing priorities, and build consensus among stakeholders.

• Design and enhance AI development practices while contributing to the creation of AI-driven products.

• Establish architecture for large-scale distributed systems that encompass services, domains, and business capabilities.

• Ensure consistency across APIs, event-driven systems, cloud infrastructure, reliability, security, observability, and operational excellence.

• Set engineering standards and conduct architectural reviews.

• Advocate for AI-assisted development, automated testing, observability, continuous delivery, and platform engineering.

• Mentor senior engineers and technical leads through coaching and design mentorship.

• Lead initiatives focused on improving reliability, resiliency, security, and operational maturity.

• Define best practices for observability, production diagnostics, AI evaluation, latency budgets, cost optimization, incident response, resiliency, and governance.

• Collaborate with engineering leadership, product management, solution architecture, security, platform engineering, infrastructure, and AI practitioners.

⛳️ Requirements

• Over 8 years of experience in designing and building production software systems, with substantial experience leading large-scale technical initiatives.

• Proven experience in driving architecture across multiple teams, services, or business domains.

• Extensive experience in building cloud-native distributed systems.

• Experience in designing and operating production AI systems, including those powered by LLMs and agentic workflows.

• Experience in creating reusable engineering platforms, frameworks, libraries, or shared infrastructure that have been adopted across multiple teams.

• Expertise in APIs, event-driven architectures, and highly available distributed systems.

• Experience in establishing engineering standards, architectural patterns, and operational best practices.

• Ability to lead technical direction through influence rather than direct management.

• Understanding of AI operational concerns, including evaluation, model selection, latency optimization, cost management, observability, governance, and safety.

• Experience in designing AI development workflows using tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms.

• Strong understanding of software architecture, cloud infrastructure, reliability engineering, and platform design.

• Excellent communication skills for engaging with both technical and non-technical audiences.

• Ability to mentor senior engineers and enhance engineering organizations.

• Strong systems thinking and an outcome-oriented mindset.

• Ideally, experience with enterprise AI platforms such as OpenAI, Azure OpenAI, Anthropic, and Databricks.

• Ideally, familiarity with programming languages such as C# (.NET), Python, TypeScript, Go, Java, or similar.

• Ideally, experience with tools and platforms like Kubernetes, Docker, Terraform, CDK, OpenTelemetry, Prometheus, Grafana, Datadog, platform modernization, cloud migration, or working in regulated industries.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k)

• PTO/paid sick leave

• Employee stock purchase plan

• Inclusive, people-first workplace culture

• Equal opportunity employment